R: Lasso and Elastic-Net Regularized Generalized Linear Models

# Lasso and Elastic-Net Regularized Generalized Linear Models

## Documentation for package ‘glmnet’ version 2.0-18

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

glmnet-package | Elastic net model paths for some generalized linear models
beta_CVX | Simulated data for the glmnet vignette
coef.cv.glmnet | make predictions from a "cv.glmnet" object.
coef.glmnet | make predictions from a "glmnet" object.
cv.glmnet | Cross-validation for glmnet
deviance.glmnet | Extract the deviance from a glmnet object
glmnet | fit a GLM with lasso or elasticnet regularization
glmnet.control | internal glmnet parameters
plot.cv.glmnet | plot the cross-validation curve produced by cv.glmnet
plot.glmnet | plot coefficients from a "glmnet" object
plot.mrelnet | plot coefficients from a "glmnet" object
plot.multnet | plot coefficients from a "glmnet" object
predict.coxnet | make predictions from a "glmnet" object.
predict.cv.glmnet | make predictions from a "cv.glmnet" object.
predict.elnet | make predictions from a "glmnet" object.
predict.fishnet | make predictions from a "glmnet" object.
predict.glmnet | make predictions from a "glmnet" object.
predict.lognet | make predictions from a "glmnet" object.
predict.mrelnet | make predictions from a "glmnet" object.
predict.multnet | make predictions from a "glmnet" object.
print.glmnet | print a glmnet object
x | Simulated data for the glmnet vignette
y | Simulated data for the glmnet vignette